Research > Adaptive signal processing

Adaptive filtering algorithms |

The optimum tap-weights of a transversal(FIR) Wiener filter can be obtained by solving the Wiener-Hopf equation provided |

that the required statistics of the underlying signals are available. An alternative way of finding the optimum tap-weights is |

to use an iterative search algorithm that starts at some arbitrary initial point in the tap-weight vector space and progressively |

moves towards the optimum point in steps. There are many iterative search algorithms derived for minimizing the cost function |

with the true statistics replaced by their estimate obtained in some manner. |

Application of adaptive filtering |